TransEnterix Ushers in New Era of Robotic Surgery with First Usage of Machine Vision Capabilities
Intelligent Surgical Unit Enables Augmented Intelligence on the Senhance System
“Augmented intelligence technologies, including machine vision and machine learning, will play an increasingly significant role in surgery. These technologies process the image and apply intelligence to extend the surgeon’s ability to utilize information from the surgical field of view. We are excited to be at the forefront of the innovation curve by developing these technologies for surgeons and patients,” said
The Intelligent Surgical Unit adds augmented intelligence to the Senhance Surgical System. Currently, the ISU enables machine vision driven control of the camera which allows the system to recognize certain objects and locations in the surgical field, and provides seamless sharing of the surgeon console’s view across all members of the operating room in real-time, all the while allowing the surgeon to maintain full control. These initial capabilities are foundational to planned future augmented intelligence features such as scene cognition and surgical image analytics that are expected to further enhance the digital laparoscopic experience with Senhance. The ISU is compatible with the global installed base of Senhance Surgical Systems and with third-party vision systems that are currently supported by Senhance.
“The Intelligent Surgical Unit provides me with capabilities that I’ve never before experienced in performing laparoscopic or robotic surgery. The system can easily recognize and track different robotic or manual instruments to move the camera efficiently. These capabilities make controlling visualization in complex surgery simpler and more efficient,” said Dr.
This press release includes statements relating to the Senhance System and the first usage of machine vision capabilities in robotic surgery. These statements and other statements regarding our future plans and goals constitute "forward looking statements" within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934, and are intended to qualify for the safe harbor from liability established by the Private Securities Litigation Reform Act of 1995. Such statements are subject to risks and uncertainties that are often difficult to predict, are beyond our control and which may cause results to differ materially from expectations and include whether the ISU’s augmented intelligence, machine vision and machine learning in digital surgery will be the primary way technology can add new value to surgical procedures and whether the ISU will add new benefits to what can be done in surgery and is the start of an era where augmented intelligence can be integrated in real-time during an operation to benefit the surgeon and the patient. For a discussion of the risks and uncertainties associated with